Senior Data Analyst, Operations

Location: Hybrid in Toronto, ON; Dallas, TX; or Phoenix, AZ.

Company

hirify.global is a technology startup developing Physical AI for commercial autonomous trucks and robotaxis.

What you will do

• Define, implement, manage, and continuously improve metrics for fleet performance, efficiency, utilization, uptime, and operational readiness.
• Build and maintain data pipelines, analytical datasets, data models, validation processes, and automated workflows using operational data from multiple sources.
• Build and standardize dashboards and recurring reports, replacing manual tracking and fragmented reporting with reliable automated workflows.
• Analyze productivity, delays, downtime, and other inefficiencies to identify trends, root causes, improvement opportunities, and the impact of operational issues.
• Track performance across the pre-mission, in-mission, and post-mission lifecycle and support commercial operations and demo reporting.
• Partner with Operations, Commercial, Data Platform, and other stakeholders to clarify requirements and deliver actionable insights.

Requirements

• Bachelor’s degree in Data, Statistics, Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3–5 years of experience in a dedicated data analyst, analytics, or business intelligence role.
• Strong SQL skills and experience with relational datasets, plus Python or R for analysis; pandas is preferred.
• Familiarity with dbt and modern analytics workflows for data modeling and transformation.
• Experience cleaning, validating, reconciling, and analyzing data from multiple sources.
• Experience building dashboards and recurring reports with BI tools, with the ability to adopt new analytics and AI-assisted tools and workflows.
• Strong statistical literacy, including significance testing, regression analysis, and distribution analysis to identify performance drivers.
• Strong problem-solving skills, sound business judgment, and the ability to independently structure ambiguous questions, surface insights, and make recommendations.
• Strong communication skills and the ability to translate data into clear takeaways for operational and leadership audiences.

Nice to have

• Experience with operations, logistics, fleet, transportation, or other operationally complex datasets, including customer-facing or commercial reporting.
• Experience with cloud data warehouses, ETL or API-based ingestion, workflow automation, operational systems, and evaluating or adopting new analytical or AI-assisted tools.

Culture & Benefits

• Hybrid work with benefits tailored to the specific country location.
• Medical, dental, and vision coverage, plus health savings account contribution options.
• Paid parental, medical, and family care leave and a generous PTO policy.
• Retirement savings plans, including 401(k) or RRSP options, plus competitive compensation and equity awards.
• Daily drinks, snacks, catered meals when in the office, and regular onsite, offsite, and virtual team-building activities and social events.
• Inclusive, supportive, and accessible workplace with accommodations available for qualified employees with disabilities.